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| Criterion |  Growth Hooked Model |  Decision Making Delphi Method |  Growth Growth Experiment |  Decision Making OODA Loop |
|---|---|---|---|---|
Purposedifferent | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | Multiple workshops over several weeks | 1-4 Wochen | 1-2 Wochen | 15-60 min je Zyklus |
Participantsdifferent | 2-8 | 6-30 Experten | 1-6 | 1-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Expert Forecast, Consensus Range, Assumption Notes | Experiment card, Result summary, Next bet | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | GrowthBehaviorRetention | ForecastingExpertsDecisionStrategy | MarketingGrowthExperimentsLearning | DecisionChangeLearningStrategy |